Paytronix Leveraging AI to Advance Order & Delivery Solution

Since acquiring and integrating Open Dining two years ago, guest experience platform Paytronix has been working to enhance guest loyalty for restaurants by leveraging artificial intelligence (AI) to improve its Order & Delivery solution.

See also: Paytronix’s Open Dining Buy Unlocks Restaurants’ Digital Front Doors

Paytronix CEO Andrew Robbins said in a press release emailed to PYMNTS that providing diners with a great restaurant experience is about “developing relationships” that move toward the longer term and beyond the single transaction.

“A restaurant’s digital presence is now the primary way guests discover and interact with brands, so marketers need a cutting-edge platform that embraces this new reality,” Robbins said, adding that customer relationships should be developed across all touchpoints.

See also: 58% of US Consumers Skip Aggregators When Ordering From Favorite Restaurants

The evolution of the company’s ordering and delivery solution makes use of AI-powered guest intelligence, making it easier for marketers to cater to customers. The enhanced platform offers tools like Order Experience Builder and FEEDback, alongside its loyalty and CRM solutions.

“Digital ordering is central to how brands operate today, and that opens a huge opportunity to ensure that restaurants and c-stores can create the best experience for their guests throughout the customer journey,” said Tim Ridgely, head of ordering and delivery for Paytronix.

“Brands must be able to manage the third-party marketplaces on one side of that journey and the delivery channel on the other. Then they need to hear back from their guests and maintain direct relationships for the long term. We’re focused on all of it,” Ridgely said.

Read more: Retailers Push Curbside, In-Store Pickup to Fight Delivery Inefficiencies

AI and customer feedback are integrated into the platform, giving restaurants and convenience stores intelligence tools to develop solid relationships with their guests and to “maximize [the] customer’s lifetime value.”